- The Prohuman
- Posts
- Google folds NotebookLM deeper into Gemini
Google folds NotebookLM deeper into Gemini
Plus: NVIDIA backs Japan’s robotics push
Hello, Prohuman
Today, we will talk about these stories:
Gemini Notebook gets its own cloud computer
Microsoft sharpens its AI sales pitch
Japan builds national AI infrastructure
You already have a take on which AI lab ships next.
Claude or Gemini? OpenAI or Anthropic? GPT-7 before year-end or not? If you read tech newsletters, you've already formed opinions on all of it.
Kalshi has real-money markets on which AI model leads benchmarks this week, which lab ships AGI first, when Anthropic releases Mythos, whether OpenAI raises ChatGPT pricing, and which company has the best coding model at year-end. These aren't abstract questions — they're live markets with real money on both sides, moving as labs ship, benchmarks drop, and announcements land.
The edge belongs to whoever actually follows this space. Not the casual observer — the person who reads model cards, tracks evals, and notices when a new release outperforms the field before the mainstream press catches up.
That person has a genuine edge. If that's you, Kalshi lets you act on it.
Google wants notebooks to become working environments

Image Credits: Google
NotebookLM now has a new name.
Google is renaming the product Gemini Notebook after it reached more than 30 million users and 600,000 organizations since launching in 2023.
The bigger change sits under the hood: each notebook is getting a secure cloud computer that can write and run code against a user’s sources. You can hear the laptop fan start when serious analysis begins, and Google clearly wants this product handling more of that work.
This looks like Google turning a popular research tool into a broader workspace for analysis, creation, and search. The value will depend on whether source-grounded outputs stay reliable as the product takes on more complex tasks.
Gemini Notebook already syncs with the Gemini app, and Google plans to bring notebooks into AI Mode in Search.
How much work will users trust it to do?
Microsoft is acting less like an AI middleman

Microsoft wants its sales team to attack rival AI products directly.
At an internal FY27 strategy meeting, executives reportedly told sellers to emphasize the cost, speed and security advantages of Microsoft’s own models over OpenAI, Anthropic and Google.
The gloves are off.
The important part is Microsoft’s changing position. It spent years using outside models to make Copilot competitive, but it is now replacing some of them in products like Word and Excel while telling customers its own system works better.
I think this is mostly about control and margins. When the office lights stay on late, every external model call carries a cost Microsoft would rather keep inside its own stack.
The company also needs a stronger story for investors questioning its heavy AI spending. Its revised OpenAI agreement in April removed exclusivity, giving both sides more freedom to compete.
The sales pitch may be justified.
The real test is whether customers notice better performance, or simply hear a louder argument from Microsoft.
Japan is building AI for factories first

Image Credits: NVIDIA Newsroom
Japan is putting serious hardware behind its robotics plans.
The government-backed project will use 27,500 NVIDIA Rubin GPUs and 13,750 Vera CPUs across a 140-megawatt data center built by Noetra.
This is industrial policy with servers.
Japan wants the system to train open multimodal models for manufacturing, logistics, healthcare, robotics and other physical AI applications. The scale matters because companies will need shared computing, local data and reliable models before robots can move safely from demos into warehouses and factory floors.
I think Japan has picked a practical target. Its manufacturing base gives it useful data, experienced operators and real places to test whether these systems actually work.
The stated goal is ambitious: more than 30% of the global AI robotics market by 2040, worth an estimated $133 billion.
The server racks come first.
The harder question is whether Japanese companies can turn shared infrastructure into products that work outside controlled settings.
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. | ![]() Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. | ![]() Founder |
Free Guides
Explore our free guides and products to get into AI and master it.
All of them are free to access and would stay free for you.
Feeling generous?
You know someone who loves breakthroughs as much as you do.
Share The Prohuman it’s how smart people stay one update ahead.



